OMG · 3 days ago
ML Ops Engineer (Concord, CA - 100% Onsite)
OMG Technology is seeking an ML Ops Engineer to join their team in Concord, California. The role involves developing and maintaining ML pipelines, automating model training and deployment, and collaborating with engineering teams to support model scoring.
Enterprise SoftwareFinanceGovernmentInformation TechnologyNon Profit
Responsibilities
Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI
Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure)
Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining
Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment
Qualification
Required
10+ Years of professional experience in Software Engineering
3+ Years in AIML, and Machine Learning Model Operations
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
Experience with cloud platforms and containerization (Docker, Kubernetes)
Hands-on experience delivering 3-4 end-to-end Production projects
Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks
Solid understanding of software engineering principles and DevOps practices
Good communication skills and able to manage stakeholders
Company
OMG
The Object Management Group® Standards Development Organization (OMG® SDO) is an international (25+ countries), membership-driven (220+ organizations) and not-for-profit consortium.
H1B Sponsorship
OMG has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2023 (2)
2021 (1)
2020 (1)
Funding
Current Stage
Early StageTotal Funding
unknown2025-07-01Acquired
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